Authorship identification technique on basis of support vector machine

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Authors: Romanov A. S.

Annotation: In the article authorship identification problem in the case of the limited set of alternatives is posed as classification task. It is suggested to use support vector machine and text's N-gramm features for solving the problem. Classification accuracy improving based on smoothing techniques is considered. Results of experiments that confirm theoretical assumptions are given.

Keywords: authorship identification, classifire, text features, support vector machine, smoothing